code: def _default_hypo_sort_key(hypo: Hypothesis) -> float:
      return _get_hypo_score(hypo) / (len(_get_hypo_tokens(hypo)) + 1)
  
imports: from typing import Callable, Dict, List, Optional, Tuple
  import torch
  from torchaudio.models import RNNT
  from torchaudio.prototype.models.rnnt import TrieNode
label_desc: Use image node_id 10 for calling a global function with example usage: _default_hypo_sort_key(hypo) and returns: unknown